MxlPy—Python package for mechanistic learning and hybrid modelling in life science
MxlPy source code is freely available at https://github.com/Computational-Biology-Aachen/MxlPy. The full documentation with features and examples can be found here https://computational-biology-aachen.github.io/MxlPy.
Authors
- Tim Nies (ORCID: https://orcid.org/0000-0003-1587-2971)
- Anna Matuszyńska (ORCID: https://orcid.org/0000-0003-0882-6088)
- Marvin van Aalst (ORCID: https://orcid.org/0000-0002-7434-0249)
- Tobias Pfennig (ORCID: https://orcid.org/0000-0002-3825-2778)
Institutions
- Cluster of Excellence on Plant Sciences (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf294
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft